A General Framework and New Alignment Criterion for Dense Optical Flow

Rami Ben-Ari, N. Sochen
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引用次数: 7

Abstract

The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient methods. Along with the framework a new alignment criterion suggests itself. It is shown that the alignment between the gradients of the optical flow components and between the latter and the intensity gradients is an important measure of the flow’s quality. Adding this criterion as a requirement in the optimization process improves the resulting flow. This is demonstrated in synthetic and real sequences.
密集光流的一般框架和新的对准准则
从变分的角度讨论了密集光流的计算问题。提出了一种新的几何框架。它统一了以前的技术,并产生了新的有效方法。与框架一起出现的是一个新的对齐标准。结果表明,光流分量梯度之间以及光流分量梯度与光流强度梯度之间的对准度是衡量光流质量的重要指标。在优化过程中将此标准作为需求添加,可以改进结果流。这在合成序列和真实序列中得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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